Inuitive Ltd.

Dentlytec G.p.l. Ltd.

Portool Ltd.

Lev Goldentouch

Benny Pesach

Ygael Grad

Amitai Reuvenny

Blanc Zach Lehr

Samuel Lifsches

Ziv Tsoref

Niv Shmueli

Genadiy Vasserman

Chagai Ensenberg

A dental device tracking method including acquiring, using an imager of a dental device, at least a first image which includes an image of at least one user body portion outside of a user's oral cavity; identifying the at least one user body portion in the first image; and determining, using the at least the first image, a position of the dental device with respect to the at least one user body portion.

Tracked toothbrush and toothbrush tracking system

A method and apparatus are provided for generating a three dimensional image, wherein the method includes: illuminating a target; capturing an image that comprises an object present at the illuminated target; converting the captured image into data and processing it to determine depth of the object; and generating a three dimensional image of the object whose depth has been determined. Preferably, the illumination intensity applied while illuminating the target, is determined based on the current intensity of ambient light at the target.

Method and apparatus for generating a 3-D image

A method is provided for use in a stereoscopic image generating system, the system including at least two image capturing sensors and at least one aggregation processor. The at least one aggregation processor is configured to: receive data associated with an image captured by the image capturing sensors; calculate aggregation results for a pre-defined number of disparity levels based on data received from one of the at least two image capturing sensors; estimate aggregation results for data received from another image capturing sensor; and combine the calculated results with the estimated results.

Method for estimating aggregation results for generating three dimensional images

A method is provided for reconstructing a three dimensional image, comprising: providing a pair of stereoscopic images captured by two image capturing devices; retrieving disparity data from the pair of stereoscopic images; using retrieved disparity data to determine contours of an object present in the pair of the stereoscopic images captured; selecting a pixel belonging to that object; establishing a search area at the vicinity of the selected pixel; determining values for various disparity candidates, wherein the determined values correspond to one or more chosen hypothesis associated with the search area; testing the one or more chosen hypothesis and selecting an hypothesis which best fits the selected pixel and its neighboring pixels; executing a stereo matching algorithm using data retrieved from the captured images while using the values of disparity candidates that correspond to the chosen hypothesis; and reconstructing the three dimensional image based on the results obtained.

Method for generating three dimensional images

A method and a device are provided for generating an image. The method comprises the steps of: (i) providing information that relates to an image of a single target captured by at least two image capturing devices; (ii) storing the information provided in at least two input buffers; (iii) sampling the stored information and storing the sampled information at at least two output line buffers, each corresponding to a different image resolution; (iv) processing the sampled information that had been stored at the at least two output line buffers in accordance with pre-defined disparity related information, wherein the pre-defined disparity related information is associated with a respective one of the at least two image capturing devices that had captured the information being currently processed; and (v) retrieving information from the at least two output line buffers and storing the retrieved information at a hybrid row buffer, for generating the image.

Method for obtaining and merging multi-resolution data

A method is provided for use in a stereoscopic image generating system comprising two cameras, a plurality of memory buffers, and at least one processor. The method comprises: identifying at least one common region of interest (ROI) at images obtained from the two cameras; generating a Look Up table (LUT), for holding displacement values of pixels that belong to the at least one common ROI; forwarding data associated with images obtained from the two cameras that relates to the at least one common ROI, to the plurality of memory buffers; processing output lines retrieved from the plurality of memory buffers and propagating data that relates to a YUV image and associated LUTs, wherein the propagating of the data is carried out at a rate associated with a respective memory buffer from which that data is retrieved; and generating a stereoscopic image based on the propagated data.

Storing data retrieved from different sensors for generating a 3-D image

A data management system, the system including: (i) an input interface for acquiring a source document; and (ii) a processor configured to: (a) divide the source document into multiple objects in response to content of the source document; (b) analyze the multiple objects to generate multiple low level sub-trees, wherein each of the low level sub-trees includes at least one of the multiple objects; (c) generate multiple mid level sub-trees, wherein each of the mid level sub-trees includes link to at least one of the low level sub-trees; (d) generate a top level sub-tree that includes multiple section links, wherein each of the section links to one of the mid level sub-trees; (e) create metadata descriptive of at least one of the sub-trees generated, wherein the metadata includes data which is not included in the source document; and (f) generate a structured document that includes the top level sub-tree, at least some of the mid level sub-trees and at least some of the low level sub-trees, and the metadata.

Growing community of inventors

Rishon Lezion, Israel

Lev Goldentouch